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GTShark: genotype compression in large projects.
Deorowicz, Sebastian; Danek, Agnieszka.
Afiliación
  • Deorowicz S; Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.
  • Danek A; Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.
Bioinformatics ; 35(22): 4791-4793, 2019 11 01.
Article en En | MEDLINE | ID: mdl-31225861
ABSTRACT

SUMMARY:

Nowadays large sequencing projects handle tens of thousands of individuals. The huge files summarizing the findings definitely require compression. We propose a tool able to compress large collections of genotypes almost 30% better than the best tool to date, i.e. squeezing human genotype to less than 62 KB. Moreover, it can also compress single samples in reference to the existing database achieving comparable results. AVAILABILITY AND IMPLEMENTATION https//github.com/refresh-bio/GTShark. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Compresión de Datos Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Polonia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Compresión de Datos Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Polonia